| Student | Conference | Year | Presentation | Type of Presentation | Award |
|---|---|---|---|---|---|
| Liam Mahler | KME Conference | 2020 | Predicting Poor Academic Performance in College Freshmen | Paper | N/A |
| Matthew Bonas | NEDSI | 2019 | A method to determine the size of the resampled data in imbalanced classification | Paper | N/A |
| Anthony Park | NEDSI | 2019 | Comparison of Imputation Methods for Predicting Length of Stay in Hospitals | Paper | N/A |
| Matthew Bonas | NEDSI | 2019 | Predicting vehicle damage using machine learning techniques | Poster | |
| Rachel Cardarelli and Mckenzie Kozma | NEDSI | 2019 | A comparison of predictive models in predicting fatality in car accidents. | Poster | |
| Matthew Bonas | Analytics without Border | 2019 | Improving fraud prediction with multiple resampling. | Paper | |
| Anthony Park | Analytics without Border | 2019 | Comparison of Imputation Methods for Predicting Length of Stay in Hospitals | ||
| Edward Golas | Conferences on Statistical Practice | 2018 | Dimension Reduction in Bankruptcy Prediction: A Case Study of North-American Companies | Poster | |
| Jonathan Ormsbee | NEDSI | 2018 | Detecting non-injured passengers and drivers in car accidents: A new under-sampling method for imbalanced classification | Paper | |
| Edward Golas | NEDSI | 2018 | Bankruptcy Prediction Using Multiple Under-Sampling: A study of North American Companies | Poster | |
| Tianyao Yu | NEDSI | 2018 | The effect of resampling methods on bankruptcy prediction models | Poster | |
| Eleni Diakolambrianos | KME | 2018 | Credit Card Default Prediction Using SAS Enterprise Miner: A Comparative Study of Taiwanese Companies | ||
| Elise Chen | KME | 2018 | Predicting Airline Satisfaction Using Machine Learning Algorithms | ||
| Matthew Picard | KME | 2018 | Pricing of Cryptocurrency: A Data Analytics Study |
Figure 1. With ABC at Nedsi Conference 2018